Correlation Between Petroleo Brasileiro and XL Holdings
Can any of the company-specific risk be diversified away by investing in both Petroleo Brasileiro and XL Holdings at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Petroleo Brasileiro and XL Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petroleo Brasileiro Petrobras and XL Holdings Bhd, you can compare the effects of market volatilities on Petroleo Brasileiro and XL Holdings and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Petroleo Brasileiro with a short position of XL Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and XL Holdings.
Diversification Opportunities for Petroleo Brasileiro and XL Holdings
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Petroleo and 7121 is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and XL Holdings Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XL Holdings Bhd and Petroleo Brasileiro is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Petroleo Brasileiro Petrobras are associated (or correlated) with XL Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XL Holdings Bhd has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and XL Holdings go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and XL Holdings
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the XL Holdings. In addition to that, Petroleo Brasileiro is 1.18 times more volatile than XL Holdings Bhd. It trades about -0.07 of its total potential returns per unit of risk. XL Holdings Bhd is currently generating about -0.06 per unit of volatility. If you would invest 55.00 in XL Holdings Bhd on September 21, 2024 and sell it today you would lose (3.00) from holding XL Holdings Bhd or give up 5.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. XL Holdings Bhd
Performance |
Timeline |
Petroleo Brasileiro |
XL Holdings Bhd |
Petroleo Brasileiro and XL Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and XL Holdings
The main advantage of trading using opposite Petroleo Brasileiro and XL Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, XL Holdings can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in XL Holdings will offset losses from the drop in XL Holdings' long position.Petroleo Brasileiro vs. Ecopetrol SA ADR | Petroleo Brasileiro vs. Equinor ASA ADR | Petroleo Brasileiro vs. Eni SpA ADR | Petroleo Brasileiro vs. Cenovus Energy |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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